数据库
数据库管理与查询
supabase
nth5693
Database, auth, and backend expertise for Supabase operations in [PROJECT_NAME]
seed-data-generator
CuriousLearner
Generate realistic test data for database development, testing, and demos.
compound-docs
nth5693
Document solved problems for knowledge persistence
xurl
Xuanwo
Use xurl to read, discover, and write AI agent conversations through agents:// URIs, and read skills through skills:// URIs.
portman
jpoutrin
Port management for local development with git worktrees. Use when setting up local development environments, booking ports for services to avoid collisions between parallel worktrees, or configuring docker-compose with dynamic ports.
rfc-status
jpoutrin
Show RFC details or update RFC status through lifecycle
mcp-architecture
jpoutrin
MCP architecture patterns, security, and memory management. Auto-loads when building MCP servers, implementing tools/resources, discussing MCP security, or working with FastMCP.
core-data
ahmed3elshaer
Core Data for iOS persistence. Data models, fetch requests, background contexts, and SwiftData migration.
sqlmesh
jpoutrin
SQLMesh patterns for data transformation with column-level lineage and virtual environments. Use when building data pipelines that need advanced features like automatic DAG inference and efficient incremental processing.
semgrep-rule-variant-creator
lv416e
Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.
changelog
v1-io
Use when generating a changelog from recent merged PRs or documenting releases. Triggers on "write changelog", "release notes", "what shipped".
python-data-state
ahgraber
Use when designing data ownership, validation boundaries, consistency models, or configuration strategy in Python. Also use when encountering unclear ownership across modules, shared mutable state leaking between layers, validation gaps at ingress, cross-module transactional coupling, or config drift between environments.
unclawg-discover
build000r
Multi-platform customer discovery for any domain. Searches Reddit, Hacker News, Twitter/X (Apify), and LinkedIn (Apify), filters noise, and outputs a ranked engagement feed with normalized candidate records for downstream workflows. Use when: "/unclawg-discover", "/find-customers", "find customers", "find leads", "find outreach candidates", "find posts to reply to", "build engagement queue".
brickstore-cli
adbertram
Use this skill for service operations only. DO NOT use this skill for CLI implementation lifecycle work such as creating, testing, updating, troubleshooting, validating, removing, or documenting the CLI tool itself; delegate those tasks to cli-tool-expert. MANDATORY: Execute BrickStore operations using the brickstore CLI tool. CLI interface for BrickStore. Triggers: brickstore, brickstore cli
delivery-verification
exception-coder
"Use after executable project changes and before declaring completion. Prefer forge_verify when available, require current PASS evidence, and drive a bounded repair-and-reverify loop."
python-types-contracts
ahgraber
Use when defining or evolving public interfaces, schema boundaries, or pydantic usage in Python. Also use when annotations are missing on public APIs, pydantic models appear everywhere instead of at trust boundaries, contract changes lack migration guidance, or Any/object types are overused across module boundaries.
backend-evidence
exception-coder
"Use for backend changes or analysis involving DDL, SQL, data relations, states, fields, events, APIs, domain invariants, reverse impact, runtime evidence, or query performance. Keeps Graphify implementation facts, OpenSpec behavior, and database/runtime truth distinct."
llm-agent-coding-standards
exception-coder
Use when code integrates LLM SDKs, agents, prompts, tools or function calling, structured model output, or agent loops. Covers trust boundaries, deterministic contracts, and loop safeguards.
planning-evidence-discovery
exception-coder
"Use when exploring an initial PRD idea, generating an initialization specification, performing value analysis, or estimating effort where evidence may span a primary project and related refactor, migration, dependency, or integration projects. Requires deterministic project-scope resolution, relationship-driven evidence queries, a persisted planning-evidence-trace-v2 ledger, and a server-side completion gate."
python-testing
ahgraber
Use when writing or reviewing tests for Python behavior, contracts, async lifecycles, or reliability paths. Also use when tests are flaky, coupled to implementation details, missing regression coverage, slow to run, or when unclear what tests a change needs.
clawgs
build000r
Extract structured JSON from Claude Code and Codex JSONL session logs and run a reusable thought-emission daemon over stdio. Use when asked to parse agent transcripts, normalize .jsonl sessions, auto-discover current Claude/Codex logs by cwd, or generate thought updates from live session snapshots for downstream tools.
questdb
questdb
Use this skill whenever working with QuestDB — a high-performance time-series database. Trigger on any mention of QuestDB, time-series SQL with SAMPLE BY, LATEST ON, ASOF JOIN, ILP ingestion, or the questdb Python/Go/Java/Rust/.NET client libraries. Also trigger when writing Grafana queries against QuestDB, creating materialized views for time-series rollups, working with order book or financial market data in QuestDB, or any SQL that involves designated timestamps or time-partitioned tables. QuestDB extends SQL with unique time-series keywords — standard PostgreSQL or MySQL patterns will fail. Always read this skill before writing QuestDB SQL to avoid hallucinating incorrect syntax.
database-management-patterns
manutej
Comprehensive guide for database management patterns covering PostgreSQL and MongoDB including schema design, indexing, transactions, replication, and performance tuning
vector-database-management
manutej
Comprehensive guide for managing vector databases including Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based applications